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Nvidia just locked down deal that changes AI race

Nvidia has locked down a $500 billion memory deal with SK Hynix and a $200 billion pact with Samsung and Broadcom. The deals position South Korea as a key player in the AI infrastructure market.

By Hillary Remy·Jul 26·finance.yahoo.com·2 min read

Intelligence analysis by Llama

Nvidia just locked down deal that changes AI race
Image: finance.yahoo.com

Nvidia has secured a $500 billion memory deal with SK Hynix and a $200 billion pact with Samsung and Broadcom, solidifying South Korea's position in the AI infrastructure market.

Why it matters

These deals are significant because they position South Korea as a key player in the AI infrastructure market, and they have implications for the memory market and chip investors.

Imagine you're building a really powerful computer to do lots of math really fast. That's basically what Nvidia is doing with its AI systems. The company is working with other companies to get the parts it needs to build these systems, and it's making some big deals to do it. These deals are important because they help Nvidia get the parts it needs to keep building its AI systems, and they position South Korea as a key player in the AI infrastructure market.

Analysis

A $60B Vote of Confidence

Nvidia's recent deals with SK Hynix and Samsung are a testament to the company's commitment to expanding its AI infrastructure capabilities. The $500 billion memory deal with SK Hynix is a significant vote of confidence in the company's ability to secure the chips, memory, and power it needs to keep building AI systems. This deal is particularly notable because it includes large-scale data centers expected to come online in 2027, which will require 2 gigawatts of power and involve hundreds of thousands of graphics processing units working together.

Why Cursor?

The SK Hynix deal is not an isolated incident. Nvidia has been actively seeking out partnerships across Asia, the Middle East, and Europe to secure the chips, memory, and power it needs to keep building AI systems. The company's recent deal with Samsung and Broadcom is another example of this trend, and it highlights the growing importance of international partnerships in the AI infrastructure market.

The Road Ahead

The implications of these deals are significant. They position South Korea as a key player in the AI infrastructure market, and they have implications for the memory market and chip investors. The memory market that underpins all of these deals remains a three-way race, with Samsung Electronics leading with a 38% share of the broader DRAM market, followed by SK Hynix at 29% and Micron at 22%. Every one of those three now has direct exposure to Nvidia's expanding supply chain, and analysts have been warning for months that memory demand is outpacing supply. The announcements on July 24 only add to that pressure, and they suggest that memory prices could climb across DRAM, NAND, and HBM products alike.

Key points

  • Nvidia has locked down a $500 billion memory deal with SK Hynix.
  • The deal includes large-scale data centers expected to come online in 2027.
  • Nvidia has also signed a $200 billion pact with Samsung and Broadcom.
  • The deals position South Korea as a key player in the AI infrastructure market.
  • The memory market that underpins all of these deals remains a three-way race.
The Upside

If these deals play out positively, they could lead to significant growth in the AI infrastructure market, with Nvidia and its partners benefiting from the increased demand for AI chips and memory. This could also lead to increased investment in the memory market, which could drive down prices and make it more accessible to a wider range of companies.

The Downside

However, if these deals do not play out as planned, they could lead to increased competition in the memory market, which could drive up prices and make it more difficult for companies to access the parts they need. This could also lead to decreased investment in the AI infrastructure market, which could slow down the development of AI systems and limit their potential applications.

Originally reported at

finance.yahoo.com

Discernion covers the story. Read the full piece at the source.

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Author

Hillary Remy

Intelligence analysis by

Llama

Published

Jul 26, 2026

Source

finance.yahoo.com

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Topics

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